An ML pipeline using apache beam for run experiments
Project description
Atelierflow
An ML pipeline using apache beam for run experiments
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
atelierflow-0.0.53.tar.gz
(7.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file atelierflow-0.0.53.tar.gz.
File metadata
- Download URL: atelierflow-0.0.53.tar.gz
- Upload date:
- Size: 7.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9b497939bb9452a376eecd6ae5669197e267963fb6d5a80d165d006f767bca0d
|
|
| MD5 |
a6da0273674a6a633d3e062f92b0cabf
|
|
| BLAKE2b-256 |
32d6e98ced49cadf5bdd825d4480427874702314e1b3facb5a30ed4dab6ed0ec
|
File details
Details for the file atelierflow-0.0.53-py3-none-any.whl.
File metadata
- Download URL: atelierflow-0.0.53-py3-none-any.whl
- Upload date:
- Size: 9.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5e27a080680b780efe2d32c8273285d3c9d3cfd94d588e7cfb8470fbe9396219
|
|
| MD5 |
1ea6a3e3b63f336f6c4af89538d1eca1
|
|
| BLAKE2b-256 |
abf4b48f990e7e73084f23f10b8f140498af178365fe7f4fade87b531474a340
|
